{"adoption": {"forks": 941, "observed_at": "2026-08-28T04:07:53.241867+00:00", "stars": 3274}, "canonical_url": "https://ross.abutalabs.com/products/teddylee777-machine-learning", "card": {"archived": false, "artifact_type": "learning-resource", "description": "머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)", "domain": ["machine-learning", "deep-learning", "tutorials", "education"], "enriched": true, "function": ["machine-learning", "deep-learning", "nlp"], "health_score": 42, "homepage": null, "language": "Jupyter Notebook", "license": null, "license_family": "other", "maturity": "active", "member_repos": ["teddylee777/machine-learning"], "name": "teddylee777/machine-learning", "platform": ["python", "cross-platform"], "pushed_at": "2025-08-13T15:54:34+00:00", "repo": "teddylee777/machine-learning", "stars": 3274, "tags": ["jupyter-notebooks", "tensorflow", "pytorch", "pandas", "tutorials", "korean-language", "study-materials", "gan", "udacity", "natural-language-processing"], "topics": ["machine-learning", "jupyter-notebook", "python", "python3", "lectures", "tensorflow-tutorials", "tensorflow", "pytorch", "pandas", "pandas-tutorial", "tensorflow2", "pytorch-tutorial", "tensorflow-examples", "deep-learning", "gan", "natural-language-processing", "neural-networks", "neural-network", "udacity", "machine-learning-study"], "urls": [], "use_cases": ["learn machine learning from scratch", "find tensorflow tutorial notebooks", "study pytorch with example code", "practice pandas for data analysis", "understand GANs with worked examples", "prepare for a machine learning study group", "learn NLP basics with notebooks"], "what_it_is": "A collection of Jupyter notebook tutorials and study materials for machine learning beginners, covering TensorFlow, PyTorch, pandas, deep learning, GANs, and NLP. Content is primarily in Korean and includes lecture notes and hands-on examples.", "when_to_avoid": ["you need production-ready ML code or a maintained library", "you require English-only documentation", "you need a structured course with certification rather than self-study notebooks"], "when_to_choose": ["you are a beginner wanting hands-on notebook-based ML tutorials", "you prefer Korean-language learning materials", "you want examples spanning TensorFlow, PyTorch, and pandas in one place"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/teddylee777-machine-learning", "repo": "teddylee777/machine-learning", "role": "main", "score": 48}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:07:53.241867+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T18:43:24.144819+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3237bb58866e5f48f3c36a199befb2bc1dbac8310b8c7f3f7263a637046613ca", "fetched_at": "2026-08-28T04:07:53.241867+00:00", "kind": "readme", "missing": false, "url": "https://github.com/teddylee777/machine-learning"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:07:53.241867+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T18:43:24.144819+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3237bb58866e5f48f3c36a199befb2bc1dbac8310b8c7f3f7263a637046613ca", "fetched_at": "2026-08-28T04:07:53.241867+00:00", "kind": "readme", "missing": false, "url": "https://github.com/teddylee777/machine-learning"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T18:43:24.144819+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3237bb58866e5f48f3c36a199befb2bc1dbac8310b8c7f3f7263a637046613ca", "fetched_at": "2026-08-28T04:07:53.241867+00:00", "kind": "readme", "missing": false, "url": "https://github.com/teddylee777/machine-learning"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:07:53.241867+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:07:53.241867+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:07:53.241867+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T18:43:24.144819+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3237bb58866e5f48f3c36a199befb2bc1dbac8310b8c7f3f7263a637046613ca", "fetched_at": "2026-08-28T04:07:53.241867+00:00", "kind": "readme", "missing": false, "url": "https://github.com/teddylee777/machine-learning"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:07:53.241867+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:07:53.241867+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T18:43:24.144819+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3237bb58866e5f48f3c36a199befb2bc1dbac8310b8c7f3f7263a637046613ca", "fetched_at": "2026-08-28T04:07:53.241867+00:00", "kind": "readme", "missing": false, "url": "https://github.com/teddylee777/machine-learning"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:07:53.241867+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:07:53.241867+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:07:53.241867+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T18:43:24.144819+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3237bb58866e5f48f3c36a199befb2bc1dbac8310b8c7f3f7263a637046613ca", "fetched_at": "2026-08-28T04:07:53.241867+00:00", "kind": "readme", "missing": false, "url": "https://github.com/teddylee777/machine-learning"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:07:53.241867+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:07:53.241867+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T18:43:24.144819+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3237bb58866e5f48f3c36a199befb2bc1dbac8310b8c7f3f7263a637046613ca", "fetched_at": "2026-08-28T04:07:53.241867+00:00", "kind": "readme", "missing": false, "url": "https://github.com/teddylee777/machine-learning"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T18:43:24.144819+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3237bb58866e5f48f3c36a199befb2bc1dbac8310b8c7f3f7263a637046613ca", "fetched_at": "2026-08-28T04:07:53.241867+00:00", "kind": "readme", "missing": false, "url": "https://github.com/teddylee777/machine-learning"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T18:43:24.144819+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3237bb58866e5f48f3c36a199befb2bc1dbac8310b8c7f3f7263a637046613ca", "fetched_at": "2026-08-28T04:07:53.241867+00:00", "kind": "readme", "missing": false, "url": "https://github.com/teddylee777/machine-learning"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T18:43:24.144819+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "3237bb58866e5f48f3c36a199befb2bc1dbac8310b8c7f3f7263a637046613ca", "fetched_at": "2026-08-28T04:07:53.241867+00:00", "kind": "readme", "missing": false, "url": "https://github.com/teddylee777/machine-learning"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 36, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases", "no_license"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 2922, "days_push": 385, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 48, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}